Postlab 4 - Membrane Permeability

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Apr 3, 2024

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Names: Sydney Healey, Yukun Shan, Medhavi Singh BI108 Lab D8 TF: Sung Kang 03/04/2024 Lab 4- Membrane Permeability 1. Create a bar graph (with error bars) that summarizes the class data with all eight molecules. Your graph should be formatted correctly for a scientific paper (see the guide to Scientific Writing on Blackboard) and should include a caption (3 points) Figure 1. This bar chart illustrates the mean hemolysis duration in seconds for red blood cells immersed in solutions containing 0.3 M non-electrolyte. The substances under examination encompass urea, thiourea, methanol, ethanol, propanol, ethylene glycol, diethylene glycol, and triethylene glycol.
2. Answer the following questions (with statistics correctly cited) and briefly discuss the following comparisons: a. Statistically compare the hemolysis times for erythrocytes in methanol, ethanol, and propanol. You will need to do three separate paired t-tests. Do your results agree with your prediction based on molar volume and partition coefficient? Why or why not? (3.5 points) Utilizing the paired t-tests (“T Test Calculator.” GraphPad by Dotmatics , www.graphpad.com/quickcalcs/ttest1.cfm. Accessed 4 Mar. 2024.), we produced three separate results. The paired t-test comparing Methanol and Ethanol showed no statistically significant difference. The average hemolysis time for Methanol ( x = 7.58, ± 1.525 sec, n = 9) was not significantly different from the mean hemolysis time for Ethanol ( x = 8.41, ± 2.163 sec, n = 9). The paired t-test results were: t = 1.1101, df = 8, P = 0.2992. Methanol, with its smaller molar volume and lower lipid/water partition coefficient compared to Ethanol, suggests that molar volume plays a more significant role in increasing the hemolysis rate for Methanol in comparison to Ethanol. Similarly, the paired t-test between Ethanol and Propanol revealed no statistically significant difference. The average hemolysis time for Ethanol ( x = 8.41, ± 2.163 sec, n = 9) was not significantly different from the mean hemolysis time for Propanol ( x = 9.00, ± 1.769 sec, n = 9). The paired t-test results were: t = 0.9942, df = 8, P = 0.3492. Ethanol, like Methanol, also exhibits a smaller molar volume and lower lipid/water partition coefficient compared to Propanol. This suggests that molar volume plays a more significant role in increasing the hemolysis rate for Ethanol compared to Propanol. However, the paired t-test comparing Methanol and Propanol yielded a statistically significant result. The average hemolysis time for Methanol ( x = 7.58, ± 1.525 sec, n = 9) was significantly different from the mean hemolysis time of Propanol ( x = 9.00, ± 1.769 sec, n = 9). The paired t-test results were: t = 2.6948, df = 8, P = 0.0273. Methanol and Propanol exhibit a significant size difference, with Methanol occupying half the volume Propanol does, and also having a significantly lower lipid/water partition coefficient compared to Propanol. As we have learnt so far, a lower molar volume and higher lipid/water partition coefficient increases the hemolysis rate of a molecule. However, in these cases, through paired t-tests, we have found out that molar volume plays a more significant role in increasing the hemolysis rate of a molecule compared to the lipid/water partition coefficient. The paired t-tests results showed mixed outcomes based on molar volume and partition coefficient. Although these factors were expected to have a significant impact on hemolysis rates, the observed data did not support this hypothesis consistently. Suggesting there are likely factors beyond molar volume and partition coefficient that have influence on hemolysis rates. For example, the significant differences between Propanol and Methanol, despite differences in these parameters, suggest the need for further research to fully understand the additional factors influencing hemolysis rates.
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